Prediction of hemodynamic severity of coarctation: a magnetic resonance imaging based prediction tree
โ Scribed by Stefano Muzzarelli; Jeffery J Meadows; Karen Gomes Ordovas; Michael D Hope; Charles B Higgins; James C Nielsen; Tal Geva; Alison Knauth Meadows
- Book ID
- 104498763
- Publisher
- BioMed Central
- Year
- 2011
- Tongue
- English
- Weight
- 581 KB
- Volume
- 13
- Category
- Article
- ISSN
- 1097-6647
No coin nor oath required. For personal study only.
โฆ Synopsis
To create a cardiovascular magnetic resonance (CMR) based tree algorithm for predicting coarctation (CoA) transcatheter systolic pressure gradient โฅ 20mmHg.
๐ SIMILAR VOLUMES
## Abstract ## Purpose To monitor and predict tissue temperature distributions and lesion boundaries during thermal ablation by combining MRI and thermal modeling methods. ## Materials and Methods Radiofrequency (RF) ablation was conducted in the paraspinal muscles of rabbits with MRI monitoring